SARS-CoV-2 in Spent Dialysate from Chronic Peritoneal Dialysis Patients with COVID-19.

Background: To date, it is unclear whether SARS-CoV-2 is present in spent dialysate from patients with COVID-19 on peritoneal dialysis (PD). Our aim was to assess the presence or absence of SARS-CoV-2 in spent dialysate from patients on chronic PD who had a confirmed diagnosis of COVID-19. Methods: Spent PD dialysate samples from patients on PD who were positive for COVID-19 were collected between March and August 2020. The multiplexed, real-time RT-PCR assay contained primer/probe sets specific to different SARS-CoV-2 genomic regions and to bacteriophage MS2 as an internal process control for nucleic acid extraction. Demographic and clinical data were obtained from patients' electronic health records. Results: A total of 26 spent PD dialysate samples were collected from 11 patients from ten dialysis centers. Spent PD dialysate samples were collected, on average, 25±13 days (median, 20; range, 10-45) after the onset of symptoms. The temporal distance of PD effluent collection relative to the closest positive nasal-swab RT-PCR result was 15±11 days (median, 14; range, 1-41). All 26 PD effluent samples tested negative at three SARS-CoV-2 genomic regions. Conclusions: Our findings indicate the absence of SARS-CoV-2 in spent PD dialysate collected at ≥10 days after the onset of COVID-19 symptoms. We cannot rule out the presence of SARS-CoV-2 in spent PD dialysate in the early stage of COVID-19.

How does working from home affect developer productivity? — A case study of Baidu during the COVID-19 pandemic

Nowadays, working from home (WFH) has become a popular work arrangement due to its many potential benefits for both companies and employees (e.g., increasing job satisfaction and retention of employees). Many previous studies have investigated the impact of WFH on the productivity of employees. However, most of these studies usually use a qualitative analysis method such as surveys and interviews, and the studied participants do not work from home for a long continuing time. Due to the outbreak of coronavirus disease 2019 (COVID-19), a large number of companies asked their employees to work from home, which provides us an opportunity to investigate whether WFH affects their productivity. In this study, to investigate the difference in developer productivity between WFH and working onsite, we conduct a quantitative analysis based on a dataset of developers’ daily activities from Baidu Inc., one of the largest IT companies in China. In total, we collected approximately four thousand records of 139 developers’ activities of 138 working days. Out of these records, 1103 records are submitted when developers work from home due to the COVID-19 pandemic. We find that WFH has both positive and negative impacts on developer productivity in terms of different metrics, e.g., the number of builds/commits/code reviews. We also notice that WFH has different impacts on projects with different characteristics including programming language, project type/age/size. For example, WFH has a negative impact on developer productivity for large projects. Additionally, we find that productivity varies for different developers. Based on these findings, we get some feedback from developers of Baidu and understand some reasons why WFH has different impacts on developer productivity. We also conclude several implications for both companies and developers.

Effect of Statewide Lockdown in Response to COVID-19 Pandemic on Physical Activity Levels of Hemodialysis Patients.

BACKGROUND/OBJECTIVES: On March 22, 2020, a statewide stay-at-home order for nonessential tasks was implemented in New York State. We aimed to determine the impact of the lockdown on physical activity levels (PAL) in hemodialysis patients. METHODS: Starting in May 2018, we are conducting an observational study with a 1-year follow-up on PAL in patients from 4 hemodialysis clinics in New York City. Patients active in the study as of March 22, 2020, were included. PAL was defined by steps taken per day measured by a wrist-based monitoring device (Fitbit Charge 2). Average steps/day were calculated for January 1 to February 13, 2020, and then weekly from February 14 to June 30. RESULTS: 42 patients were included. Their mean age was 55 years, 79% were males, and 69% were African Americans. Between January 1 and February 13, 2020, patients took on average 5,963 (95% CI 4,909-7,017) steps/day. In the week prior to the mandated lockdown, when a national emergency was declared, and in the week of the shutdown, the average number of daily steps had decreased by 868 steps/day (95% CI 213-1,722) and 1,222 steps/day (95% CI 668-2300), respectively. Six patients were diagnosed with COVID-19 during the study period. Five of them exhibited significantly higher PAL in the 2 weeks prior to showing COVID-19 symptoms compared to COVID-19 negative patients. CONCLUSION: Lockdown measures were associated with a significant decrease in PAL in hemodialysis patients. Patients who contracted COVID-19 had higher PAL during the incubation period. Methods to increase PAL while allowing for social distancing should be explored and implemented.

Systematic Pharmacological Strategies to Explore the Regulatory Mechanism of Ma Xing Shi Gan Decoction on COVID-19

OBJECTIVE: To use systematic pharmacological strategies to explore the regulatory mechanisms of Ma Xing Shi Gan Decoction (MXSGD) against the coronavirus disease 2019 (COVID-19). METHODS: Data on the compounds and targets of MXSGD were collected from the Traditional Chinese Medicene Systems Parmacology Database and Analysis Platform (TCMSP) and TCM Databases@Taiwan. Data on ACE2-related targets and the protein-protein interaction (PPI) were collected from the String database. The Cytoscape 3.7.2 was used to construct and analyze the networks. The DAVID platform was used for Gene Ontology (GO) and pathway enrichment analyses. RESULTS: Data on 272 MXSGD targets and 21 SARS-CoV-2 potential targets were collected. Four networks were constructed and analyzed based on the data: (1) compound-target network of MXSGD;(2) MXSGD-SARS-CoV-2-PPI network;(3) cluster of MXSGD-SARS-CoV-2-PPI network;(4) Herb-Pathway-Target network. The core targets included AKT1, MAPK3, IL-6, TP53, VEGFA, TNF, CASP3, EGFR, EGF and MAPK1. The antiviral biological processes were inflammatory responses (inflammatory cells, inflammatory cytokines and their signaling pathways), immune responses (T cells, monocytes, B cells and other immune cells), immune factors (IFN-γ, TNF-α and so on), virus defense, humoral immunity and mucosal innate immune response. The antivirus-related signaling pathways included TNF, NOD-like receptor, FoxO, PI3K-AKT and Toll-like receptor signaling pathways. CONCLUSIONS: MXSGD can control disease progression by regulating multiple compounds and targets;it can reduce inflammation and balance immunity by regulating several proteins that interact with ACE2 and signaling pathways closely related to disease development.